Dr. Christopher Chembe

Dr. Christopher Chembe has more than Ten (10) years of experience in Academia with particular interest in Computer Science and Information Technology. He has taught a lot of courses both at Undergraduate and Postgraduate levels. Before joining NIPA, he was Head of Department for Computer Science and Information Technology at Mulungushi University under School of Science, Engineering and Technology.

 Benefits for students   

Qualifications

  • Doctor of Philosophy (PhD) in Computer Science (University of Malaya, Malaysia)
  • Master of Computer Science (University of Malaya, Malaysia)
  • Bachelor of Science in Computer Science (The University of Zambia)
  • Huawei ICT Academy Instructor: (Huawei ICT Academy-MU)
  • Huawei ICT Associate (Routing and Switching): (Huawei ICT Academy-MU)

Courses Taught

  1. Introduction to Computer Science
  2. Data Communication and Networking
  3. Advanced Computer Networks and Security
  4. Mobile Programming Technologies

Postgraduate Level

  1. Research Methods in Computer Science
  2. Quantitative Research Methodologies
  3. Machine Learning Techniques
  4. Big Data Analytics
  5. Mobile Application Development
  6. Research Supervision at Masters and PhD levels

Research interests

Dr. Chembe has interest in Information Communication Technology (ICT) field particularly in Wired and Wireless Networks, Information Systems and Software Development, Machine Learning, Internet of Things, Big Data and Vehicular Ad Hoc Networks and many more. He has more than 13 publications in the Top Peer Reviewed journals some of which are under International Scientific Indexing (ISI) such as Elsevier and Springer. In addition, he has attended and presented at various International Conferences in ICT.

Selected Published Works

See: Google Scholar Link: https://scholar.google.com/citations?user=l48_eFgAAAAJ&hl=en

 See: ORCID: https://orcid.org/0000-0003-2405-7952

  • Chembe C, Kunda D, Ahmedy I, Noor RM, Sabri AQ, Ngadi MA. (2019) Infrastructure based spectrum sensing scheme in VANET using reinforcement learning. Vehicular Communications, vol. 18.
  • Chembe C, Ahmedy I, Md Noor R, Kunda D, Oche M, Tambawal A B. (2019) Cooperative Spectrum Decision in Cognitive Vehicular Network based on Support Vector Machine. Malaysian Journal of Computer Science, MJCS VOL. 32, NO. 2.
  • Bwalya, M. and Chembe, C., (2019). A Security Framework for Mobile Application Systems: Case of Android Applications. Zambia ICT Journal, 3(2), pp.31-43. 
  • Nyirenda, E. and Chembe, C. (2019). Water Utility Mobile Application For Meter Reading: Android Based. Zambia ICT Journal, 3(2), pp.19-30.
  • Kunda, D., Chembe, C. and Mukupa, G. (2018). Factors that influence Zambian higher education lecturer’s attitude towards integrating ICTs in teaching and research. JOTSE, 8(4), pp.360-384.
  • Chembe C., Md Noor R., Ahmedy I., Oche M. and Kunda D. and Lui C. H. (2017) “Spectrum Sensing in Cognitive Vehicular Network: State-of-Art, Challenges and Open Issues”, Computer Communications, Volume 97, pp 15-30.
  • Simfukwe, M., Kunda, D. and Chembe, C., (2015). Comparing Naive Bayes Method and Artificial Neural Network for Semen Quality Categorisation. International Journal of Innovative Science, Engineering & Technology, 2(7), pp.689-694.
  • Mwika D., Chembe C. and Kunda, D. (2014) “A comparative study of cultural differences of success factors of ERP implementation in developed and emerging economies: case study of Norway and Zambia”. International Journal of Computer Engineering & Technology (IJCET). Volume:5, Issue:8, p:105-117.

 

Student Consultation Hours

Fridays:           08:00hrs to 17:00hrs

Venue:             Room 35, Main Building, Main Campus.

Contacts

Email:              cchembe@edu.nipa.ac.zm

Number:          +260-956-787140


 

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